andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-19 knowledge-graph by maker-knowledge-mining
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Introduction: Really we need the data on babies born 30 years ago, but this is still pretty stunning: Argentina: Matías, #3; Mateo, #13 Australia/New South Wales: Matthew, #21 Australia/Victoria: Matthew, #21 Austria: Matthias, #19 Belgium: Mathis, #9; Matteo, #22; Mathias, #23; Mathéo, #35; Mats, #89; Mathieu, #90; Matthias, #97 Brazil: Matheus, #4 Canada/Alberta: Matthew, #8 Canada/British Columbia: Matthew, #6 Canada/Ontario: Matthew, #2 Canada/Quebec: Mathis, #11; Mathieu, #35; Mathias, #47; Matthew, #76; Mathys, #78; Matis, #84 Canada/Saskatchewan: Matthew, #10 Chile: Matias, #4 Czech Republic: Matej, #7; Matyas, #17; Matous, #25 Denmark: Mathias, #11, Mads, #12 England: Matthew, #24 Finland: Matias, #4 France: Mathis, #3 Georgia: Mate, #8 Germany: Matthis, #87 Hungary: Máté, #2; Matyas, #53 Iceland: Matthias, #32 Ireland: Matthew, #17 Italy: Matteo, #4; Mattia, #7 Lithuania: Matas, #1 Netherlands: Thijs, #13 New Zealand: Matthew, #21 Northern Ireland: Matthew,
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same-blog 1 1.0 19 andrew gelman stats-2010-05-06-OK, so this is how I ended up working with three different guys named Matt
Introduction: Really we need the data on babies born 30 years ago, but this is still pretty stunning: Argentina: Matías, #3; Mateo, #13 Australia/New South Wales: Matthew, #21 Australia/Victoria: Matthew, #21 Austria: Matthias, #19 Belgium: Mathis, #9; Matteo, #22; Mathias, #23; Mathéo, #35; Mats, #89; Mathieu, #90; Matthias, #97 Brazil: Matheus, #4 Canada/Alberta: Matthew, #8 Canada/British Columbia: Matthew, #6 Canada/Ontario: Matthew, #2 Canada/Quebec: Mathis, #11; Mathieu, #35; Mathias, #47; Matthew, #76; Mathys, #78; Matis, #84 Canada/Saskatchewan: Matthew, #10 Chile: Matias, #4 Czech Republic: Matej, #7; Matyas, #17; Matous, #25 Denmark: Mathias, #11, Mads, #12 England: Matthew, #24 Finland: Matias, #4 France: Mathis, #3 Georgia: Mate, #8 Germany: Matthis, #87 Hungary: Máté, #2; Matyas, #53 Iceland: Matthias, #32 Ireland: Matthew, #17 Italy: Matteo, #4; Mattia, #7 Lithuania: Matas, #1 Netherlands: Thijs, #13 New Zealand: Matthew, #21 Northern Ireland: Matthew,
2 0.091601722 1534 andrew gelman stats-2012-10-15-The strange reappearance of Matthew Klam
Introduction: A few years ago I asked what happened to Matthew Klam, a talented writer who has a bizarrely professional-looking webpage but didn’t seem to be writing anymore. Good news! He published a new story in the New Yorker! Confusingly, he wrote it under the name “Justin Taylor,” but I’m not fooled (any more than I was fooled when that posthumous Updike story was published under the name “ Antonya Nelson “). I’m glad to see that Klam is back in action and look forward to seeing some stories under his own name as well.
3 0.068557791 670 andrew gelman stats-2011-04-20-Attractive but hard-to-read graph could be made much much better
Introduction: Matthew Yglesias shares this graph from the Economist : I hate this graph. OK, sure, I don’t hate hate hate hate it: it’s not a 3-d exploding pie chart or anything. It’s not misleading, it’s just extremely difficult to read. Basically, you have to go back and forth between the colors and the labels and the countries and read it like a table. OK, so here’s the table: Average Hours Per Day Spent in Each Activity Work, Unpaid Eating, Personal Country study work sleeping care Leisure Other France 4 3 11 1 2 2 Germany 4 3 10 1 3 3 Japan 6 2 10 1 2 2 Britain 4 3 10 1 3 3 USA 5 3 10 1 3 2 Turkey 4 3 11 1 3 2 Hmm, that didn’t work too well. Let’s try subtracting the average from each column (for these six countries,
4 0.067158796 536 andrew gelman stats-2011-01-24-Trends in partisanship by state
Introduction: Matthew Yglesias discusses how West Virginia used to be a Democratic state but is now solidly Republican. I thought it would be helpful to expand this to look at trends since 1948 (rather than just 1988) and all 50 states (rather than just one). This would represent a bit of work, except that I already did it a couple years ago, so here it is (right-click on the image to see the whole thing): I cheated a bit to get reasonable-looking groupings, for example putting Indiana in the Border South rather than Midwest, and putting Alaska in Mountain West and Hawaii in West Coast. Also, it would help to distinguish states by color (to be able to disentangle New Jersey and Delaware, for example) but we didn’t do this because the book is mostly black and white. In any case, the picture makes it clear that there have been strong regional trends all over during the past sixty years. P.S. My graph comes from Red State Blue State so no 2008 data, but 2008 was pretty much a shift
Introduction: Uberbloggers Andrew Sullivan and Matthew Yglesias were kind enough to link to my five-year-old post with graphs from Red State Blue State on time trends of average income by state. Here are the graphs : Yglesias’s take-home point: There isn’t that much change over time in states’ economic well-being. All things considered the best predictor of how rich a state was in 2000 was simply how rich it was in 1929…. Massachusetts and Connecticut have always been rich and Arkansas and Mississippi have always been poor. I’d like to point to a different feature of the graphs, which is that, although the rankings of the states haven’t changed much (as can be seen from the “2000 compared to 1929″ scale), the relative values of the incomes have converged quite a bit—at least, they converged from about 1930 to 1980 before hitting some level of stability. And the rankings have changed a bit. My impression (without checking the numbers) is that New York and Connecticut were
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same-blog 1 0.93983734 19 andrew gelman stats-2010-05-06-OK, so this is how I ended up working with three different guys named Matt
Introduction: Really we need the data on babies born 30 years ago, but this is still pretty stunning: Argentina: Matías, #3; Mateo, #13 Australia/New South Wales: Matthew, #21 Australia/Victoria: Matthew, #21 Austria: Matthias, #19 Belgium: Mathis, #9; Matteo, #22; Mathias, #23; Mathéo, #35; Mats, #89; Mathieu, #90; Matthias, #97 Brazil: Matheus, #4 Canada/Alberta: Matthew, #8 Canada/British Columbia: Matthew, #6 Canada/Ontario: Matthew, #2 Canada/Quebec: Mathis, #11; Mathieu, #35; Mathias, #47; Matthew, #76; Mathys, #78; Matis, #84 Canada/Saskatchewan: Matthew, #10 Chile: Matias, #4 Czech Republic: Matej, #7; Matyas, #17; Matous, #25 Denmark: Mathias, #11, Mads, #12 England: Matthew, #24 Finland: Matias, #4 France: Mathis, #3 Georgia: Mate, #8 Germany: Matthis, #87 Hungary: Máté, #2; Matyas, #53 Iceland: Matthias, #32 Ireland: Matthew, #17 Italy: Matteo, #4; Mattia, #7 Lithuania: Matas, #1 Netherlands: Thijs, #13 New Zealand: Matthew, #21 Northern Ireland: Matthew,
2 0.6595701 536 andrew gelman stats-2011-01-24-Trends in partisanship by state
Introduction: Matthew Yglesias discusses how West Virginia used to be a Democratic state but is now solidly Republican. I thought it would be helpful to expand this to look at trends since 1948 (rather than just 1988) and all 50 states (rather than just one). This would represent a bit of work, except that I already did it a couple years ago, so here it is (right-click on the image to see the whole thing): I cheated a bit to get reasonable-looking groupings, for example putting Indiana in the Border South rather than Midwest, and putting Alaska in Mountain West and Hawaii in West Coast. Also, it would help to distinguish states by color (to be able to disentangle New Jersey and Delaware, for example) but we didn’t do this because the book is mostly black and white. In any case, the picture makes it clear that there have been strong regional trends all over during the past sixty years. P.S. My graph comes from Red State Blue State so no 2008 data, but 2008 was pretty much a shift
Introduction: Uberbloggers Andrew Sullivan and Matthew Yglesias were kind enough to link to my five-year-old post with graphs from Red State Blue State on time trends of average income by state. Here are the graphs : Yglesias’s take-home point: There isn’t that much change over time in states’ economic well-being. All things considered the best predictor of how rich a state was in 2000 was simply how rich it was in 1929…. Massachusetts and Connecticut have always been rich and Arkansas and Mississippi have always been poor. I’d like to point to a different feature of the graphs, which is that, although the rankings of the states haven’t changed much (as can be seen from the “2000 compared to 1929″ scale), the relative values of the incomes have converged quite a bit—at least, they converged from about 1930 to 1980 before hitting some level of stability. And the rankings have changed a bit. My impression (without checking the numbers) is that New York and Connecticut were
4 0.6158272 636 andrew gelman stats-2011-03-29-The Conservative States of America
Introduction: After noting the increasing political conservatism of people in the poorer states, Richard Florida writes : The current economic crisis only appears to have deepened conservatism’s hold on America’s states. This trend stands in sharp contrast to the Great Depression, when America embraced FDR and the New Deal. Liberalism, which is stronger in richer, better-educated, more-diverse, and, especially, more prosperous places, is shrinking across the board and has fallen behind conservatism even in its biggest strongholds. This obviously poses big challenges for liberals, the Obama administration, and the Democratic Party moving forward. But the much bigger, long-term danger is economic rather than political. This ideological state of affairs advantages the policy preferences of poorer, less innovative states over wealthier, more innovative, and productive ones. American politics is increasingly disconnected from its economic engine. And this deepening political divide has become pe
Introduction: Solomon Hsiang writes : I [Hsiang] have posted about high temperature inducing individuals to exhibit more violent behavior when driving, playing baseball and prowling bars. These cases are neat anecdotes that let us see the “pure aggression” response in lab-like conditions. But they don’t affect most of us too much. But violent crime in the real world affects everyone. Earlier, I posted a paper by Jacob et al. that looked at assault in the USA for about a decade – they found that higher temperatures lead to more assault and that the rise in violent crimes rose more quickly than the analogous rise in non-violent property-crime, an indicator that there is a “pure aggression” component to the rise in violent crime. A new working paper “Crime, Weather, and Climate Change” by recent Harvard grad Matthew Ranson puts together an impressive data set of all types of crime in USA counties for 50 years. The results tell the aggression story using street-level data very clearly [click to
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same-blog 1 0.98920459 19 andrew gelman stats-2010-05-06-OK, so this is how I ended up working with three different guys named Matt
Introduction: Really we need the data on babies born 30 years ago, but this is still pretty stunning: Argentina: Matías, #3; Mateo, #13 Australia/New South Wales: Matthew, #21 Australia/Victoria: Matthew, #21 Austria: Matthias, #19 Belgium: Mathis, #9; Matteo, #22; Mathias, #23; Mathéo, #35; Mats, #89; Mathieu, #90; Matthias, #97 Brazil: Matheus, #4 Canada/Alberta: Matthew, #8 Canada/British Columbia: Matthew, #6 Canada/Ontario: Matthew, #2 Canada/Quebec: Mathis, #11; Mathieu, #35; Mathias, #47; Matthew, #76; Mathys, #78; Matis, #84 Canada/Saskatchewan: Matthew, #10 Chile: Matias, #4 Czech Republic: Matej, #7; Matyas, #17; Matous, #25 Denmark: Mathias, #11, Mads, #12 England: Matthew, #24 Finland: Matias, #4 France: Mathis, #3 Georgia: Mate, #8 Germany: Matthis, #87 Hungary: Máté, #2; Matyas, #53 Iceland: Matthias, #32 Ireland: Matthew, #17 Italy: Matteo, #4; Mattia, #7 Lithuania: Matas, #1 Netherlands: Thijs, #13 New Zealand: Matthew, #21 Northern Ireland: Matthew,
2 0.95062178 373 andrew gelman stats-2010-10-27-It’s better than being forwarded the latest works of you-know-who
Introduction: In the inbox today: From Jimmy. From Kieran. The relevant references are here and, of course, here .
3 0.87907642 59 andrew gelman stats-2010-05-30-Extended Binary Format Support for Mac OS X
Introduction: Rodney Sparapani writes: My Windows buddies have been bugging me about BRUGS and how great it is. Now, running BRUGS on OS X may be possible. Check out this new amazing software by Amit Singh. Personally, I’d go with R2jags , but I thought I’d pass this on in case others are interested.
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Introduction: This is pretty amazing.
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Introduction: Stan will make a total lifetime profit of $0, so we can’t be sued !
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